Summary
Alexandra Delucia is a Johns Hopkins PhD candidate in Computer Science specializing in NLP and social media data modeling, with a decade of hands-on experience across research and industry. She focuses on text generation, classification, and information extraction, melding rigorous academic methods from CLSP with practical engineering work. Her recent internships and research roles—ranging from Google’s Bard/Gemini R&D to Sony R&D and Los Alamos HPC—demonstrate fluency in large-scale ML systems and production-oriented model development. Comfortable moving between high-performance computing and applied NLP, she brings both experimental rigor and engineering discipline to data-driven problems. Based in Baltimore, she leverages a multicultural academic background (including study in Madrid) and tutoring/IT roots to communicate complex ideas clearly to diverse audiences. Colleagues rely on her ability to translate cutting-edge research into reproducible, deployable solutions.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Rollins College
Johns Hopkins University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Johns Hopkins Whiting School of Engineering
don Quijote Language School - Madrid, Spain